Non-intrusive PODI-ROM for patient-specific aortic blood flow in presence of a LVAD device.


Journal

Medical engineering & physics
ISSN: 1873-4030
Titre abrégé: Med Eng Phys
Pays: England
ID NLM: 9422753

Informations de publication

Date de publication:
09 2022
Historique:
received: 24 07 2021
revised: 23 06 2022
accepted: 10 07 2022
entrez: 6 9 2022
pubmed: 7 9 2022
medline: 9 9 2022
Statut: ppublish

Résumé

Left ventricular assist devices (LVADs) are used to provide haemodynamic support to patients with critical cardiac failure. Severe complications can occur because of the modifications of the blood flow in the aortic region. In this work, the effect of a continuous flow LVAD device on the aortic flow is investigated by means of a non-intrusive reduced order model (ROM) built using the proper orthogonal decomposition with interpolation (PODI) method based on radial basis functions (RBF). The full order model (FOM) is represented by the incompressible Navier-Stokes equations discretized by using a Finite Volume (FV) technique, coupled with three-element Windkessel models to enforce outlet boundary conditions in a multi-scale approach. A patient-specific framework is proposed: a personalized geometry reconstructed from Computed Tomography (CT) images is used and the individualization of the coefficients of the three-element Windkessel models is based on experimental data provided by the Right Heart Catheterization (RHC) and Echocardiography (ECHO) tests. At FOM level, we also consider the pre-surgery configuration in order to further validate the predictive capabilities of the model in several contexts. The ROM has been tested by considering a parametric setting with respect to the LVAD flow, which is a crucial parameter of the problem. We consider a parameter range that covers typical clinical values. The accuracy of the ROM is assessed against results obtained with the FOM both for primal, velocity and pressure, and derived quantities, wall shear stress (WSS). Finally, we briefly discuss the efficiency of our ROM approach.

Identifiants

pubmed: 36068037
pii: S1350-4533(22)00098-4
doi: 10.1016/j.medengphy.2022.103849
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

103849

Informations de copyright

Copyright © 2022 IPEM. Published by Elsevier Ltd. All rights reserved.

Auteurs

Michele Girfoglio (M)

mathLab, Area di Matematica, SISSA, Scuola Internazionale Superiore di Studi Avanzati, Trieste, Italy.

Francesco Ballarin (F)

mathLab, Area di Matematica, SISSA, Scuola Internazionale Superiore di Studi Avanzati, Trieste, Italy; Dipartimento di Matematica e Fisica, Università Cattolica del Sacro Cuore, Brescia, Italy.

Giuseppe Infantino (G)

Collegio di Ingegneria Matematica, Modelli Matematici e Simulazioni Numeriche, Politecnico di Torino, Torino, Italy.

Francesca Nicoló (F)

Unità Operativa Complessa di Cardiochirurgia e Chirurgia dei Trapianti, Azienda Ospedaliera San Camillo, Roma, Italy.

Andrea Montalto (A)

Unità Operativa Complessa di Cardiochirurgia e Chirurgia dei Trapianti, Azienda Ospedaliera San Camillo, Roma, Italy.

Gianluigi Rozza (G)

mathLab, Area di Matematica, SISSA, Scuola Internazionale Superiore di Studi Avanzati, Trieste, Italy. Electronic address: grozza@sissa.it.

Roberto Scrofani (R)

Unità Operativa Complessa Cardiochirurgia, Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, Milano, Italy.

Marina Comisso (M)

Unità Operativa Complessa di Cardiochirurgia e Chirurgia dei Trapianti, Azienda Ospedaliera San Camillo, Roma, Italy.

Francesco Musumeci (F)

Unità Operativa Complessa di Cardiochirurgia e Chirurgia dei Trapianti, Azienda Ospedaliera San Camillo, Roma, Italy.

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